Rum

Klevgrand's Rum takes a straightforward approach to room simulation by modeling ten distinct acoustic spaces through multi-microphone recordings, each with six tonal variants. Rather than attempting convolution-based reverb accuracy, Rum positions itself as a practical tool for adding spatial character and dimension to sources recorded in controlled environments. This is the acoustic equivalent of recording a second stereo pair across the room - a proven technique for adding presence and naturalism to otherwise dry recordings.

The plugin's workflow reflects its design philosophy. After adjusting input gain and applying high or low cut filters, you select a room, choose a microphone perspective, and dial in pre-delay with tempo sync to control apparent distance. The inclusion of a built-in ducker on the wet signal addresses a common problem: transient-heavy sources can overwhelm subtle room character, so the compression control allows you to preserve definition while maintaining spatial texture.

Beyond basic room selection, Rum includes modulation and three stereo-spreading algorithms for shape-shifting the output width and character. This positions it as more than a simple reverb, though purists should note that it functions within clearer limitations than high-end convolution reverbs.

Rum suits producers working with acoustic instruments, drums, and vocals seeking natural room ambience without algorithmic artifacts. Its straightforward interface and factory presets make it accessible to less experienced engineers, while its deep tweakability satisfies detailed work. In a crowded reverb landscape, it carves a useful middle ground between simplicity and sonic character, particularly for those prioritizing realistic acoustic treatment over abstract effects processing.